Triple

T1743922
Position Surface form Disambiguated ID Type / Status
Subject Malena Ernman E38293 entity
Predicate familyName P18 FINISHED
Object Ernman E38293 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ernman | Statement: [Malena Ernman, familyName, Ernman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ernman
Context triple: [Malena Ernman, familyName, Ernman]
  • A. Ernman chosen
    Ernman is the surname of Swedish opera singer and environmental activist Malena Ernman.
  • B. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • C. Ernst
    Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • D. Bertramus
    Bertramus is a Latinized variant of the given name Bertram, historically used in medieval and ecclesiastical contexts.
  • E. Elwyn
    Elwyn is a given name most notably associated with mathematician and coding theorist Elwyn R. Berlekamp.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63e804848190a19c10f4e609e900 completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8b0ab7008190a2fafe1c8ac55ac4 completed March 8, 2026, 2:43 p.m.
Created at: March 4, 2026, 7:31 p.m.